Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E90435B1D173A93F439F32DCE60B5741E393B3034F4447EAA196C4A8674AEA4CE534A8 |
|
CONTENT
ssdeep
|
1536:vchG4G9AdcjmRJc9sq0sjV/5155+2lvRN9dTRTL2Kf9svhGI:vchG4JcjmRJcH9r2Kf2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc4423bc43bb4cc |
|
VISUAL
aHash
|
e7efe7bfff8181ff |
|
VISUAL
dHash
|
4d0c0d53441b190e |
|
VISUAL
wHash
|
27e7c781a78181e7 |
|
VISUAL
colorHash
|
07001200080 |
|
VISUAL
cropResistant
|
4d0c0d53441b190e |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 104 techniques to evade detection by security scanners and make reverse engineering more difficult.